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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
Topic 2
  • Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
Topic 3
  • Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
Topic 4
  • Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
Topic 5
  • Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q245-Q250):

NEW QUESTION # 245
A company stores critical information in an Amazon RDS for PostgreSQL database. The company notices degraded performance, high CPU utilization, increased query latency, and connection timeouts during peak shopping hours. The company also identifies surges in user connections during peak hours. The connection surges affect the read performance of the database.
The company wants to resolve the database performance issues.
Which combination of steps will meet this requirement? (Choose two.)

Answer: C,E

Explanation:
Performance Insights helps identify the top wait events and most resource-intensive queries so you can optimize or index them, directly reducing CPU utilization and query latency.
RDS Proxy manages and pools database connections, smoothing out connection spikes and reducing overhead on the database during surges, which improves performance and reduces timeouts.


NEW QUESTION # 246
A company made a configuration change to an Amazon EC2 Auto Scaling group that hosts a production application. The change affected the number of available EC2 instances and caused the application to be slow to respond. The company needs a solution to provide an email notification when a management change occurs to the Auto Scaling group. The company has already set up a trail in AWS CloudTrail to log management write changes. A CloudOps engineer creates an Amazon SNS topic that has the appropriate subscribers. What should the CloudOps engineer do next to meet this requirement?

Answer: D

Explanation:
CloudTrail records management write events, and Amazon EventBridge can match those events in near real time. The correct solution is to create an EventBridge rule that filters for Auto Scaling management write events, then sends matching events to the SNS topic for email notification.
This is direct, event-driven, and operationally efficient. AWS Config is useful for resource configuration history and compliance evaluation, but it is not the simplest way to notify on specific CloudTrail write API activity. Security Hub aggregates security findings and is not intended for general Auto Scaling configuration-change alerting. S3 Event Notifications on the CloudTrail log bucket are indirect and would trigger based on log file delivery, not cleanly on the specific management event. Therefore, EventBridge plus SNS is the right CloudOps monitoring and remediation pattern.


NEW QUESTION # 247
A company applies user-defined tags to AWS resources. Twenty days after applying the tags, the company notices that the tags cannot be used to filter views in the AWS Cost Explorer console.
What is the reason for this issue?

Answer: A

Explanation:
User-defined tags must be explicitly activated as cost allocation tags in the AWS Billing and Cost Management console before they can be used in Cost Explorer. Simply applying tags to resources is not sufficient.
Once activated, cost allocation tags can take up to 24 hours to appear in Cost Explorer, but they will not appear at all if activation is not performed. The 30-day delay applies only to historical reporting after activation, not to visibility itself.
Cost and Usage Reports and Budgets are not prerequisites for Cost Explorer filtering.
Therefore, the issue occurs because the tags were not activated for cost allocation.


NEW QUESTION # 248
A company runs an application on Amazon EC2 instances that are in an Amazon EC2 Auto Scaling group. Scale-out actions take a long time to become complete because of long-running boot scripts. A CloudOps engineer must implement a solution to reduce the required time for scale-out actions without overprovisioning the Auto Scaling group.
Which solution will meet these requirements?

Answer: A

Explanation:
An Auto Scaling warm pool keeps a set of pre-initialized EC2 instances in a "stopped" or
"running" state, ready to be quickly added to the active instance pool when scaling out. This significantly reduces scale-out latency caused by lengthy boot scripts, without permanently running extra instances (avoiding overprovisioning). Once demand increases, instances from the warm pool can be launched almost instantly.


NEW QUESTION # 249
A medical research company uses an Amazon Bedrock powered AI assistant with agents and knowledge bases to provide physicians quick access to medical study protocols. The company needs to generate audit reports that contain user identities, usage data for Bedrock agents, access data for knowledge bases, and interaction parameters.
Which solution will meet these requirements?

Answer: D

Explanation:
As per AWS Cloud Operations, Bedrock, and Governance documentation, AWS CloudTrail is the authoritative service for capturing API activity and audit trails across AWS accounts. For Amazon Bedrock
, CloudTrail records all user-initiated API calls, including interactions with agents, knowledge bases, and generative AI model parameters.
Using CloudTrail Lake, organizations can store, query, and analyze CloudTrail events directly without needing to export data. CloudTrail Lake supports SQL-like queries for generating audit and compliance reports, enabling the company to retrieve information such as user identity, API usage, timestamp, model or agent ID, and invocation parameters.
In contrast, CloudWatch focuses on operational metrics and log streaming, not API-level identity data.
OpenSearch or Flink would add unnecessary complexity and cost for this use case.
Thus, the AWS-recommended CloudOps best practice is to leverage CloudTrail with CloudTrail Lake to maintain auditable, queryable API activity for Bedrock workloads, fulfilling governance and compliance requirements.
Reference: AWS Cloud Operations & Governance Guide - Section: Auditing and Governance for Generative AI Workloads Using AWS CloudTrail and CloudTrail Lake


NEW QUESTION # 250
......

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